Triple
T34586495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burris Ewell |
E888056
|
entity |
| Predicate | hygieneStatus |
P146343
|
FINISHED |
| Object | unclean |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: unclean | Statement: [Burris Ewell, hygieneStatus, unclean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hygieneStatus Context triple: [Burris Ewell, hygieneStatus, unclean]
-
A.
hasCleanlinessLevel
chosen
Indicates the degree or state of cleanliness associated with an entity.
-
B.
saluteStatus
Indicates the type or state of a salute being given or received between entities (e.g., whether, how, or in what manner one entity salutes another).
-
C.
hasCleaningFacility
Indicates that an entity provides or is equipped with a facility or service for cleaning.
-
D.
hasHealthCode
Indicates that an entity is associated with a specific health-related classification or status code.
-
E.
preventionStatus
Indicates whether an action, measure, or condition is currently serving to prevent a specified event, outcome, or state from occurring.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720c8e74c819084f402fb9f935513 |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:03 a.m.